基于捕食搜索策略的混合动力汽车参数优化

混合动力汽车模型是一个较复杂的非线性系统，且设计参数较多，为一种处理燃油经济性和排放的多目标问题。文章以一辆实例样车的动力系统和逻辑门限值控制策略为例，分析并建立了以动力性能为控制约束，以最小化油耗和排放为控制目标的非线性规划模型。采用捕食搜索遗传算法，对模型进行了仿真。结果表明，该方法相对于简单遗传算法更能有效地改善车辆燃油经济性和排放。

Parameters Optimization of Hybrid Electric Vehicle Based on Prey Search Genetic Algorithms

Hybrid electric vehicle(HEV) model,a complex nonlinear system and with a large number of parameters,constitutes a new multi-objective optimization scheme.Taking power train and a logic threshold control strategy of a real vehicle as an example,with the objective functions of minimizing both fuel consumption and emission as well as a constraint of power performance,a nonlinear programming model for optimization on HEV parameters is set up,Applying the Prey Search Genetic Algorithm(PSGA),this paper simulates ...